2023
DOI: 10.1016/j.jclepro.2023.138250
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The impact of urban agglomerations on carbon emissions in China: Spatial scope and mechanism

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Cited by 18 publications
(4 citation statements)
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“…vulnerability assessment [50], carbon emissions [51], environmental quality assessment [52], sustainability performance evaluation, etc. [53].…”
Section: Studies On Urban Agglomerationmentioning
confidence: 99%
“…vulnerability assessment [50], carbon emissions [51], environmental quality assessment [52], sustainability performance evaluation, etc. [53].…”
Section: Studies On Urban Agglomerationmentioning
confidence: 99%
“…The effect of emission reduction will vary according to the regional economy and green innovation capacity. [24] There is little literature on the evaluation of urban development, and most of the evaluation dimensions are relatively thin, while the green competitiveness of this paper comprehensively considers the economic, social, resource and environmental dimensions in the process of urban development, and most of the literature treats the intensity of urban carbon emissions as an dependent variable variable, and less of it considers the intensity of urban carbon emissions as an independent variable variable to analyze its impact on a certain aspect. And the existing literature on urban green competitiveness is more in the evaluation point of view, and there are fewer studies on the effect of practicing the carbon peaking and carbon neutrality goals on the level of urban green competitiveness.…”
Section: Literature Reviewmentioning
confidence: 99%
“…According to this theory, the EIP policy incentivizes urban enterprises to coalesce within ecological industrial park areas, serving as spatial hubs [19]. Within these EIPs, enterprises can effectively mitigate operational costs, expedite the exchange, and dissemination of diverse production factors, including technology, human capital, and financial resources, within the agglomerated setting [55]. At the regional level, economic agglomeration and carbon emissions exhibit an "inverted N-shaped" relationship, implying the existence of thresholds for both emission increases and decreases relative to economic agglomeration (Zhou, 2024) [56].…”
Section: Econometric Modelmentioning
confidence: 99%
“…Industrial value added (IAV) [41,52] and industrial enterprise profits (IEP) [43] serve as indicators of industrial structure, while the ratio of the sum of value added in the secondary and tertiary industries to the administrative area assesses economic agglomeration (EA) [45,48,58]. Additionally, the logarithm of non-agricultural output to administrative area is utilized to measure industrial agglomeration (PA) [54,55,67] effects. Technological innovation (TI) [68,69] is gauged by the number of patented inventions, green innovation (GI) [51,57] by the quantity of green patents, and digital innovation (DI) [70] by the number of patents related to the digital economy.…”
Section: Transmission Mechanism Regressionmentioning
confidence: 99%